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<div class="title">Liang Du (杜 亮)<a href="cv_Liang_Du_en.pdf">[CV]</a><a href="中文简历-杜亮.pdf">[中文简历]</a></div>
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    <TD height=25, align=left>State Key Laboratory of Computer Science</TD> 
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    <TD height=25, align=left>Institute of Software</TD> 
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	<TD height=25, align=left>Chinese Academy of Sciences</TD>
	<TD height=25, align=right>csliangdu@gmail.com</TD>	
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	<TD height=25, align=left>4# South 4th Street, Zhongguancun</TD>
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	<TD height=25, align=left>Beijing 100190 P.R. China</TD>
	<!--<TD height=25, align=right><a href="http://lcs.ios.ac.cn/~duliang">http://lcs.ios.ac.cn/~duliang</a></TD> -->
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<div class="title">Objective</div>
I am looking for a challenging research job in industry or academia, and I will be available from July 2013.
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<div class="title">Research Interests</div>
Data Mining, Machine Learning, Information Retrieval, Big Data Analysis
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<div class="title">Education</div>
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    <TD height=35, align=left>Institute of Software, Chinese Academy of Sciences, Beijing, China</TD> 
	<TD height=35, align=left>Sep. 2007 – Jun. 2013</TD>
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	<TD style="padding-left: 20px;", height=25, align=left><li><b>Ph.D. in Computer Software and Theory</b></li>
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	<TD style="padding-left: 20px;", height=25, align=left><li>Thesis: Clustering with Robust Nonnegative Matrix Factorization.</li>
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	<TD style="padding-left: 20px;", height=25, align=left><li>Advisor: Prof. Yi-Dong Shen</li>
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    <TD height=35, align=left>Wuhan University, Wuhan, China</TD> 
	<TD height=35, align=left>Sep. 2003 – Jun. 2007</TD>
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	<TD style="padding-left: 20px;", height=15, align=left><li><b>B.Eng. in Software Engineering</b></li>
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<div id="htmltagcloud"> <span id="0" class="wrd tagcloud8"><a href="#tagcloud">clustering</a></span> <span id="1" class="wrd tagcloud0"><a href="#tagcloud">ensemble</a></span> <span id="2" class="wrd tagcloud5"><a href="#tagcloud">factorization</a></span> <span id="3" class="wrd tagcloud7"><a href="#tagcloud">feature</a></span> <span id="4" class="wrd tagcloud0"><a href="#tagcloud">heterogeneous</a></span> <span id="5" class="wrd tagcloud10"><a href="#tagcloud">learning</a></span> <span id="6" class="wrd tagcloud7"><a href="#tagcloud">matrix</a></span> <span id="7" class="wrd tagcloud0"><a href="#tagcloud">metric</a></span> <span id="8" class="wrd tagcloud0"><a href="#tagcloud">multiple</a></span> <span id="9" class="wrd tagcloud0"><a href="#tagcloud">nonnegative</a></span> <span id="10" class="wrd tagcloud0"><a href="#tagcloud">regularized</a></span> <span id="11" class="wrd tagcloud0"><a href="#tagcloud">retrieval</a></span> <span id="12" class="wrd tagcloud7"><a href="#tagcloud">robust</a></span> <span id="13" class="wrd tagcloud7"><a href="#tagcloud">selection</a></span> <span id="14" class="wrd tagcloud8"><a href="#tagcloud">unsupervised</a></span> </div><div id="credit">created at <a href="http://tagcrowd.com">TagCrowd.com</a></div>

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	<div class="title">Publications</div>
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			<li><b>Liang Du</b> and Yi-Dong Shen. Towards robust co-clustering. The 23rd International Joint Conference on Artificial Intelligence (<b>IJCAI</b>), 2013. (Oral paper, acceptance rate 195/1473=13.2%).</li>
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			<li><b>Liang Du</b>, Xuan Li and Yi-Dong Shen. Robust nonnegative matrix factorization via half-quadratic minimization. In Proceedings of IEEE 12th International Conference on Data Mining (<b>ICDM</b>), pages 201-210, Brussels, Belgium, December 10-13, 2012. (Full paper, acceptance rate 81/756 = 10.7%).</li>
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			<li>Xuan Li, <b>Liang Du</b> and Yi-Dong Shen. Update summarization via graph-based sentence ranking. IEEE Transactions on Knowledge and Data Engineering (<b>TKDE</b>), May 2013, vol.25, no.5, pages 1162-1174.</li>
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			<li><b>Liang Du</b> and Yi-Dong Shen. Joint clustering and feature selection. The 14th International Conference on Web-Age Information Management (WAIM), 2013. (Full paper, Accepted).</li>
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			<li><b>Liang Du</b>, Yi-Dong Shen, Zhiyong Shen, Jianying Wang and Zhiwu Xu. A self-supervised framework for clustering ensemble. The 14th International Conference on Web-Age Information Management (WAIM), 2013. (Full paper, Accepted).</li>
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			<li><b>Liang Du</b>, Xuan Li, and Yi-Dong Shen. User Graph Regularized Pairwise Matrix Factorization for Item Recommendation, in Proceedings of the 7th International Conference on Advanced Data Mining and Applications (ADMA), pages 372-385, Beijing, China, December 18-20, 2011.</li>
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			<li><b>Liang Du</b>, Xuan Li, and Yi-Dong Shen. Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization, in Proceedings of the 7th International Conference on Advanced Data Mining and Applications (ADMA), pages 215-228, Beijing, China, December 18-20, 2011.</li>
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			<li>Xuan Li, <b>Liang Du</b>, and Yi-Dong Shen. Graph-Based Marginal Ranking for Update Summarization, in Proceedings of the 11th SIAM International Conference on Data Mining (<b>SDM</b>), pages 486-497, Arizona, USA, April 28-30, 2011.</li>
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			<li>Zhiyong Shen, <b>Liang Du</b>, Xukun Shen, and Yi-Dong Shen. Interval-valued Matrix Factorization with Applications, in  Proceedings of the 10th IEEE International Conference on Data Mining (<b>ICDM</b>), pages 1037-1042, Sydney, Australia, December 14-17, 2010.</li>
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			<li>Xuan Li, Yi-Dong Shen, <b>Liang Du</b>, and Chen-Yan Xiong. Exploiting novelty, coverage and balance for topic-focused multi-document summarization, in Proceedings of the 19th ACM Conference on Information and Knowledge Management (<b>CIKM</b>), pages 1765-1768, Toronto, Canada, October 26-30, 2010.</li>
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			<li>Liang Wu, Alvin Chin, Guandong Xu, <b>Liang Du</b>, Xia Wang, Kangjian Meng, Yonggang Guo and Yuanchun Zhou. Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. Database Systems for Advanced Applications (DASFAA), pages 401-415, Wuhan, China, April 22-25, 2013.</li>
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<div class="title">Research Experiences</div>
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    <TD height=25, align=left><b>Doctoral Research</b></TD>
	<TD height=25, align=right>Institute of Software, CAS</TD>
	<TD height=25, align=right>Sep. 2007 – present</TD>
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	<ol>I am working with my supervisor Prof. Yi-Dong Shen on the topic of clustering with robust non-negative matrix factorization, document summarization, collaborative filtering and feature selection.</ol>

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    <TD height=25, align=left><b>Research Intern (Part time)</b></TD>
	<TD height=25, align=right>HP Lab China</TD>
	<TD height=25, align=right>Apr. 2010 – Apr. 2011</TD>
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  <ol>I am working with Dr. Zhiyong Shen on the topic of collaborative filtering and topic models.</ol>

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	<div class="title">Professional Activities</div>
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		<ol>Reviewer for Neurocomputing.</ol>
		<ol>External reviewer for TKDE; KDD 2010, 2013; AAAI 2012, 2013; ISWC 2010, 2011; CIKM 2011; PAKDD 2011, 2012, 2013; PRICAI 2010, 2012; SEKE 2010, 2011 etc.</ol>
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